Development of data science in metallurgy and process control superintendence:• Recommendation Systems• Predictive Models• Optimization• Automation

Experience at Chuquicamata mine site, in areas of maintenance/operation of copper sulfide concentrator plants and electricity and fuel supply services.• GSYS - Superintendence of Electricity and Fuel: Implementation of energy management system, maintenance operating system (SOMA), automation and data visualization in Power BI/Python.• GCON - Superintendence of Electrical Maintenance and Automation: Standardization of procedures to improve security at the Chuquicamata concentrator plant.• Operational Excellence: KPI analysis, project planning, automation and data visualization in Power BI/Python.(5-month application process, where 7000 people applied. Only 1% of the applicants were selected, of which only 10 were men. The internship consists of a program to develop leadership skills in young professionals to later work in supervisory, management and change agent positions.)

• Build predictive and prescriptive models to SAG mills.• MLOps & Data Engineering with Airflow and MySQL.• API with Flask.• visualization of information with Plotly.• Upskill people with cloud technologies.

• Stored Procedures with SQL Server.• API with Flask.• visualization of information with Plotly.• Build predictive and prescriptive models to SAG mills.• MLOps with Azure Functions.• Upskill people with cloud technologies.

Machine Learning and Deep Learning code review in Python.

Machine Learning and Deep Learning code review in Python.